QA Lead Tester

Responsibilities

Peraton is seeking a Quality Assurance Lead Tester for the Department of Defense (DoD) DMDC Enterprise Law Enforcement Support (ELES2) program. In this role, you will be responsible for developing and implementing testing strategies for AI/ML models. You will perform various types of testing, including but not limited to functional, performance, and scalability testing on AI/ML models. identify and document defects and verify fixes in AI/ML systems. You will be expected to design and implement a comprehensive testing framework, evaluating the performance of our privacy solutions in various ML contexts, and ensuring their reliability and consistency across different environments. You will be instrumental in integrating these testing processes into our continuous integration and deployment (CI/CD) pipeline, ensuring the highest standards of quality in our AI solutions.

What You’ll Do:

Identify and document defects and verify fixes in AI/ML systems.

Deep understanding of different testing methodologies

Experience with testing frameworks and tools

Excellent problem-solving skills and attention to detail

Strong verbal and written communication skills

Proven experience in testing APIs and machine learning models (especially LLMs)

Strong understanding of ML workflows

Proficient in programming with Python

Qualifications

Required Qualifications:

5 years with BS/BA; 3 years with MS/MA; 0 years with PhD. 9 years of experience in lieu of degree

Ability to obtain Public Trust clearance

Must be a U.S Citizen

Experience in leveraging AI-enabled testing tools

Familiarity with Selenium AI/ML Layer Plugins uses such as:

Self-Healing Tests for automatically identifying and updating broken element locators (e.g., XPath/CSS changes) using visual recognition, DOM similarity, or historical test data.

Dynamic Element Identification to recognize UI elements even if their properties (ID, class) have changed.

Visual Testing to compare baseline screenshots using AI-driven image recognition to detect visual regressions.

Smart Test Generation to analyze user flows, code changes, or logs to suggest or auto-generate new test cases.

Impact Analysis to predict which tests need to be rerun based on code or UI changes, reducing test cycles

Desired Qualifications:

Strong foundation in

software testing methodologies

test automation frameworks

defect tracking processes

Proficiency with AI-enhanced platforms such as AI-enabled Selenium, which uses machine learning for adaptive test execution and element recognition

AI-enabled Redwood, which supports self-healing test automation and intelligent error prediction

Requires the ability to design and execute comprehensive test cases for functional, regression, and performance testing across web and enterprise applications.

Peraton Overview

Peraton is a next-generation national security company that drives missions of consequence spanning the globe and extending to the farthest reaches of the galaxy. As the world’s leading mission capability integrator and transformative enterprise IT provider, we deliver trusted, highly differentiated solutions and technologies to protect our nation and allies. Peraton operates at the critical nexus between traditional and nontraditional threats across all domains: land, sea, space, air, and cyberspace. The company serves as a valued partner to essential government agencies and supports every branch of the U.S. armed forces. Each day, our employees do the can’t be done by solving the most daunting challenges facing our customers. Visit peraton.com to learn how we’re keeping people around the world safe and secure.

Target Salary Range

$86,000 - $138,000. This represents the typical salary range for this position based on experience and other factors.

EEO

EEO: Equal opportunity employer, including disability and protected veterans, or other characteristics protected by law.

full time